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High-degree Cubature Kalman Filtering Approach for GPS Aided In-Flight Alignment of SDINS
신현철,유해성,박흥원 사단법인 항법시스템학회 2015 Journal of Positioning, Navigation, and Timing Vol.4 No.4
A High-degree Cubature Kalman Filter (CKF) is proposed to deal with the Strapdown Inertial Navigation System (SDINS) alignment problem. In-flight Alignment (IFA) is an effective method to compensate for attitude errors of the navigation system. While providing precise attitude error compensation, however, the external source aided alignment often creates a nonlinear filtering problem caused by a large misalignment angle. Introduced recently, Cubature Kalman Filter is a suitable technique for various nonlinear problems. In this paper, a higher degree CKF is applied to this accuracy-is-everything SDINS IFA problem. The simulation results show that the proposed technique outperformed a traditional nonlinear filter in terms of precision and alignment time.
신현철 한양대학교 공학기술연구소 1992 공학기술논문집 Vol.1 No.1
New hierarchical partitioning and performance-driven placement techniques for automatic design of application specific integrated circuits (ASICs) using standard cells have been developed. The new partitioning algorithm builds a hierarchical tree for a given circuit by using the gradual constraint-enforcing technique. The new placement method performs truly hierarchical simulated-annealing based placements. When compared with several conventional partitioning and placement methods, the new methods produced favorable results for several benchmark examples.